Most coding tools give you one model, one guess. Daena-Coder runs 3 LLMs in parallel (Qwen, DeepSeek, Llama) and synthesizes the best answer. - COUNCIL: 3 models run simultaneously, responses synthesized - QUINTESSENCE: adds 5 expert lenses (Architect, Security, Critic...) - 10 built-in skills: /review /security /debug /refactor /test - MCP-native: GitHub, Postgres, Slack, any MCP server - Hybrid: also you can use 100% local; your code never leaves your machine
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Maker
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aHey Product Hunt! 👋
I built Daena-Coder because I was tired of "one model, one guess" coding tools.
The idea: what if you ran 3 LLMs from completely different training families in parallel — Qwen (Alibaba), DeepSeek, and Llama (Meta) — and synthesized the best answer from all three? That's COUNCIL mode, the default.
For harder problems, QUINTESSENCE mode adds 5 expert lenses (Architect, Security, Practitioner, Critic, Researcher) each analyzing the responses independently — then meta-synthesizes everything into one authoritative answer.
Everything runs locally via Ollama. Your code never leaves your machine. No subscriptions, no API keys required.
It also ships with:
- 10 built-in slash-command skills (/review, /security, /debug, /refactor...)
- Native MCP support — connect GitHub, Postgres, Slack, any MCP server
- TURBO mode for 8GB VRAM machines (3 small models truly in parallel)
GitHub: https://github.com/Mas-AI-Offici...
Happy to answer any questions! This is the open-source coding layer — the full governed platform lives at daena.mas-ai.co